{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "# 彩色图像读取与分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## 单张图片分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "img_path = r\"data/dataset/img/85.bmp\"\n",
    "label_path = r\"data/dataset/label/85.bmp\"\n",
    "# 读取图片和色彩空间转换\n",
    "img = cv2.imread(img_path)\n",
    "label_img = cv2.imread(label_path)\n",
    "img = cv2.cvtColor(img, cv2.COLOR_BGR2LAB)\n",
    "# 从opencv的色彩空间到Photoshop的色彩空间\n",
    "alpha, beta = np.array([100 / 255, 1, 1], dtype=float), np.array([0, -128, -128], dtype=float)\n",
    "img = img * alpha + beta\n",
    "img = np.asarray(np.round(img, 0), dtype=int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# 构建数据集\n",
    "color_dict = {(0, 0, 255): 'tobacco', (255, 0, 0): 'background'}\n",
    "dataset = {label: img[np.all(label_img == color, axis=2)] for color, label in color_dict.items()}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 观察色彩分布情况\n",
    "fig, axs = plt.subplots()\n",
    "for label, data in dataset.items():\n",
    "    l, a, b = [data[:, i] for i in range(3)]\n",
    "    axs.scatter(a, b, label=label, alpha=0.1)\n",
    "axs.set_xlim(-127, 127)\n",
    "axs.set_ylim(-127, 127)\n",
    "axs.set_xlabel('a')\n",
    "axs.set_ylabel('b')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "单张图片仅能够观察到单一类别的色彩分布情况, 但已经可以看出背景的颜色分布情况多集中在较为暗的区域"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## 多张图片分析\n",
    "为了能够有效分析各类杂质的色彩分布情况, 构建多个类别的读取函数与图形绘制函数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "from utils import read_labeled_img,lab_scatter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "dataset = read_labeled_img(\"data/dataset_old\", color_dict={(0, 0, 255): \"yangeng\", (255, 0, 0): \"bejing\", (0, 255, 0): \"hongdianxian\", (255, 0, 255): \"chengsebangbangtang\",(0, 255, 255): \"lvdianxian\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "lab_scatter(dataset, class_max_num=200, is_3d=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "上图所示是LAB色彩空间内的分布情况,每个类别只取了200个样本，这样子看来各个物体的颜色重叠是不太严重的"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "lab_scatter(dataset, class_max_num=10000, is_3d=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "但是如果用很多样本来看，情况就不容乐观了，重叠还是很严重的，尤其是和背景以及橙色棒棒糖之间重叠特别厉害"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "lab_scatter(dataset, is_3d=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "如果我们抛弃亮度通道，只看颜色，就像上图这样，从这个角度看，烟梗的颜色和其他颜色之间的重叠度超级高呢。所以必须同时考虑亮度和其他类型的颜色。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}